Principles for Internet Congestion Management
dc.contributor.author
Brown, Lloyd
dc.contributor.author
Gran Alcoz, Albert
dc.contributor.author
Cangialosi, Frank
dc.contributor.author
Narayan, Akshay
dc.contributor.author
Alizadeh, Mohammad
dc.contributor.author
Balakrishnan, Hari
dc.contributor.author
Friedman, Eric Jon
dc.contributor.author
Katz-Bassett, Ethan B.
dc.contributor.author
Krishnamurthy, Arvind
dc.contributor.author
Schapira, Michael
dc.contributor.author
Shenker, Scott J.
dc.date.accessioned
2024-09-04T08:16:47Z
dc.date.available
2024-09-02T06:11:46Z
dc.date.available
2024-09-04T08:16:47Z
dc.date.issued
2024-08-04
dc.identifier.isbn
979-8-4007-0614-1
en_US
dc.identifier.other
10.1145/3651890.3672247
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/691726
dc.identifier.doi
10.3929/ethz-b-000691726
dc.description.abstract
Given the technical flaws with - -and the increasing non-observance of - -the TCP-friendliness paradigm, we must rethink how the Internet should manage bandwidth allocation. We explore this question from first principles, but remain within the constraints of the Internet's current architecture and commercial arrangements. We propose a new framework, Recursive Congestion Shares (RCS), that provides bandwidth allocations independent of which congestion control algorithms flows use but consistent with the Internet's economics. We show that RCS achieves this goal using game-theoretic calculations and simulations as well as network emulation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computing Machinery
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-sa/4.0/
dc.subject
Network Architecture
en_US
dc.title
Principles for Internet Congestion Management
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-ShareAlike 4.0 International
ethz.book.title
ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 Conference
en_US
ethz.pages.start
166
en_US
ethz.pages.end
180
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
38th ACM SIGCOMM Conference (SIGCOMM 2024)
en_US
ethz.event.location
Sydney, Australia
en_US
ethz.event.date
August 4 - 8, 2024
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02640 - Inst. f. Technische Informatik und Komm. / Computer Eng. and Networks Lab.::09477 - Vanbever, Laurent / Vanbever, Laurent
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02640 - Inst. f. Technische Informatik und Komm. / Computer Eng. and Networks Lab.::09477 - Vanbever, Laurent / Vanbever, Laurent
ethz.date.deposited
2024-09-02T06:11:47Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2024-09-04T08:16:49Z
ethz.rosetta.lastUpdated
2024-09-04T08:16:49Z
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true
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true
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